The analysis of time-to-event data in the presence of competing risks is part of many studies today. However, the impact of the interrelationship between the competing risks on the interpretation of the results seems to be unclear to many researchers, however. We try to provide a guide to researchers interested in analysing competing risks data. Estimation of the cause-specific hazard function, the cumulative incidence function, the Gray test statistic, and the multi-stage models for analysing competing risks data are explained. Furthermore, we apply the theoretical methodology and illustrate the fundamental problems of interpreting the results of competing risk analyses by using empirical data in the field of outcome research in orthopaedics.
|Title of host publication||Developments in Statistical Evaluation of Clinical Trials|
|Editors||Kees van Montfort, Johan Oud, Wendimagegn Ghidey|
|Place of Publication||Heidelberg|
|Publication status||Published - 2014|